Deep Learning Performance Architect - New College Grad 2027

USonsitejunior$124K – $196K

Posted today · via Workday

About this role

NVIDIA is at the forefront of the generative AI revolution. We are looking for New College Graduates to join our GPU compute architecture and performance engineering team, dedicated to pre-silicon modeling, data-supported architecture exploration, and GPU microarchitecture improvement for LLM inference, agentic AI, and other generative AI workloads. As a Deep Learning Performance Architect, you will help improve the efficiency and scalability of large language models (LLMs), agentic AI systems, and other generative AI models on NVIDIA platforms. You will gain hands-on experience with pre-silicon performance modeling, correlation, bottleneck analysis, GPU architecture studies, and system-level analysis, while collaborating with engineers across kernel, hardware, and performance teams.…

Read the full description on NVIDIA's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, c++, pytorch, transformers, teams

2

Level fit

This role is junior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in US. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonc++pytorchtransformersteams

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